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| other:python:jyp_steps [2020/03/31 17:05] – [Scipy Lecture Notes] jypeter | other:python:jyp_steps [2021/01/05 15:00] – [Getting started] Added a link to the Matlab to Python guide from Enthought jypeter |
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| - always remember that indices start at ''0'' and that the last element of an array is at index ''-1''!\\ First learn about //indexing// and //slicing// by manipulating strings, as shown in [[#part1|Part 1]] above (try '''This document by JY is awesome!'[::-1]'' and '''This document by JY is awesome!'[slice(None, None, -1)]'') 8-) | - always remember that indices start at ''0'' and that the last element of an array is at index ''-1''!\\ First learn about //indexing// and //slicing// by manipulating strings, as shown in [[#part1|Part 1]] above (try '''This document by JY is awesome!'[::-1]'' and '''This document by JY is awesome!'[slice(None, None, -1)]'') 8-) |
| - if you are a Matlab user (but the references are interesting for others as well), you can read the following: | - if you are a **Matlab user** (but the references are interesting for others as well), you can read the following: |
| | - [[https://www.enthought.com/wp-content/uploads/2019/08/Enthought-MATLAB-to-Python-White-Paper-1.pdf|Migrating from MATLAB to Python]] on the [[https://www.enthought.com/software-development/|Enthought Software Development page]] |
| - [[https://docs.scipy.org/doc/numpy-dev/user/numpy-for-matlab-users.html|Numpy for Matlab users]] | - [[https://docs.scipy.org/doc/numpy-dev/user/numpy-for-matlab-users.html|Numpy for Matlab users]] |
| - [[http://mathesaurus.sourceforge.net/matlab-numpy.html|NumPy for MATLAB users]] (nice, but does not seem to be maintained any more) | - [[http://mathesaurus.sourceforge.net/matlab-numpy.html|NumPy for MATLAB users]] (nice, but does not seem to be maintained any more) |
| * [[https://uxknowledgebase.com/tables-other-charts-data-visualization-part-3-5bfab15ce525|Tables & Other Charts — Data Visualization Part 3]] | * [[https://uxknowledgebase.com/tables-other-charts-data-visualization-part-3-5bfab15ce525|Tables & Other Charts — Data Visualization Part 3]] |
| * Working with colors | * Working with colors |
| | * **Do not use the outdated //rainbow// colormap!** |
| | * [[http://geog.uoregon.edu/datagraphics/EOS/Light-and-Bartlein.pdf|The End of the Rainbow? Color Schemes for Improved Data Graphics]] (Light and Bartlein, EOS 2004, including replies and comments) |
| | * [[http://colorspace.r-forge.r-project.org/articles/endrainbow.html|Somewhere over the Rainbow]] |
| * [[https://matplotlib.org/users/colormaps.html|Choosing colormaps]] | * [[https://matplotlib.org/users/colormaps.html|Choosing colormaps]] |
| * [[https://matplotlib.org/cmocean/|cmocean: Beautiful colormaps for oceanography]] | * [[https://matplotlib.org/cmocean/|cmocean: Beautiful colormaps for oceanography]] |
| * [[https://jiffyclub.github.io/palettable/|Palettable: Color palettes for Python]] | * [[https://jiffyclub.github.io/palettable/|Palettable: Color palettes for Python]] |
| * [[http://colorbrewer2.org|ColorBrewer 2.0]] is a tool that can help you understand, and experiment with //sequential//, //diverging// and //qualitative// colormaps | * [[http://colorbrewer2.org|ColorBrewer 2.0]] is a tool that can help you understand, and experiment with //sequential//, //diverging// and //qualitative// colormaps |
| | * The [[http://hclwizard.org/|hclwizard]] provides tools for manipulating and assessing colors and palettes based on the underlying ''colorspace'' software |
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| Depending on the distribution, the editor and the programming environment you use, you may have access to a graphical version of the debugger. UV-CDAT users can use ''pydebug my_script.py'' | Depending on the distribution, the editor and the programming environment you use, you may have access to a graphical version of the debugger. UV-CDAT users can use ''pydebug my_script.py'' |
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| | ===== jupyter and notebook stuff ===== |
| | |
| | FIXME Misc notes, resources and links to organize later |
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| | * [[https://beta.jupyterbook.org/|jupyter {book}]]: Jupyter Book is an open source project for building beautiful, publication-quality books and documents from computational material. |
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| ===== Using a Python IDE ===== | ===== Using a Python IDE ===== |
| ===== Python 2.7 vs Python 3 ===== | ===== Python 2.7 vs Python 3 ===== |
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| The official [[https://docs.python.org/2.7/howto/pyporting.html|Porting Python 2 Code to Python 3]] page gives the required information to make the transition from python 2 to python 3. It is still safe to use Python 2.7, so there is no rush to change to Python 3. | It is still safe to use Python 2.7, but **you should consider upgrading to Python 3**, unless some key modules you need are not compatible (yet) with Python 3 |
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| | You should start writing code that will, when possible, work both in Python 2 and Python 3 |
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| | Some interesting reading: |
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| | * [[https://docs.python.org/3/whatsnew/3.0.html|What’s New In Python 3.0]].\\ Examples: |
| | * ''print'' is now a function. Use ''print('Hello')'' |
| | * You cannot test a difference with ''<>'' any longer! Use ''!='' |
| | |
| | * The official [[https://docs.python.org/2.7/howto/pyporting.html|Porting Python 2 Code to Python 3]] page gives the required information to make the transition from python 2 to python 3. |
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| ===== What now? ===== | ===== What now? ===== |
